Background
Online healthcare platform (OHP) is a new form of medical treatment, which solves the problems of unbalanced distribution of medical resources and expensive medical treatment in China. Especially under the epidemic of COVID-19, OHP has greatly reduced the medical pressure of the hospital and the risk of cross infection.
Methods
This paper uses evolutionary game theory to analyze behavioral strategies and their dynamic evolution in the promotion of OHP, and then numerical simulations are carried out with the help of program compilation.
Results
The results demonstrate that: (1) both the stricter qualification inspection of doctors and the more investment in information protection promote the participation of doctors and the use of patients; (2) with a higher initial probability of doctors joining, the possibility for patients in using OHP and platforms to provide standardized online healthcare services becomes higher; (3) if the initial probability of patients using is higher, the possibility for doctors to participate OHP and platforms to provide standardized online healthcare services raises; (4) the trend of doctors joining the platform is affected by factors, such as registration cost, time cost, reputation loss and so on; (5) the tendency of patients in using online healthcare is mainly decided by the cost.
Conclusions
Based on theoretical analysis, this article takes the Spring Rain Doctor OHP as an example to verify the game results. Therefore, OHP should attach importance to the inspection of doctors and the protection of privacy information, and strengthen the publicity in remote places. At the same time OHP can promote the active participation of grassroots doctors, and set a reasonable evaluation mechanism, so as to popularize online medical treatment among patients further.
The development of city–industry integration is crucial for modern cities and is a core element of city competitiveness enhancement and sustainable development. This study considers system dynamics theory to examine city–industry integration and constructs an index system to measure the degree of integration. For this purpose, 31 regions in China (including provinces, autonomous regions, and municipalities directly under the central government) are considered as research samples. Objective evaluation methods such as factor analysis and entropy methods are applied to evaluate the target value. The research results reveal a wide gap in the levels of city–industry integration in various regions of China. Furthermore, the Middle East outperforms the Western and Northeastern regions. Accordingly, the advantages of the Central and Eastern regions should be combined, and a leading and radiation-driven role should be played. Moreover, capital investment in the Western and Northeastern regions should be increased, and emphasis should be placed on local characteristics. Moreover, urban economic development, industrial transformation, and industrial upgrading should be promoted, and the sustainable development capacity of cities should be enhanced.
This paper regarded CNP1000 power plant system as the research object, which is the second-generation half Nuclear Reactor System in our country, and tried to set Westinghouse AP1000 passive residual heat removal system to the primary circuit of CNP1000. Then set up a simulation model based on RELAP5/MOD3.2 program to calculate and analyze the response and operating characteristic of passive residual heat removal system on assumption that Station Blackout occurs. The calculation has the following conclusions: natural circulation was quickly established after accident, which removes core residual heat effectively and keep the core safe. The residual heat can be quickly removed, and during this process the actual temperature was lower than saturation temperature in reactor core.
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